Jonathan Richard Schwarz
12 papers · 2023–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(27)
π
Century Club
(12)
β‘
Prolific Year
(5)
Conferences
NIPS (4)
EMNLP (2)
ICML (2)
ACL (1)
CVPR (1)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
neural compression
(2)
domain adaptation
(2)
factual accuracy
(1)
model evaluation
(1)
language modeling
(1)
model fitting
(1)
llm evaluation
(1)
data selection
(1)
mixture of expert
(1)
instruction tuning
(1)
evaluation framework
(1)
implicit neural representation
(1)
latent representation
(1)
empirical baye
(1)
reward model
(1)
image compression
(1)
energy-based model
(1)
out-of-distribution detection
(1)
natural language inference
(1)
retrieval augmented generation
(1)
Papers
Composable Interventions for Language Models
ICLR 2025
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts
ACL 2025
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
EMNLP 2025
Evaluating the Role of Verifiers in Test-Time Scaling for Legal Reasoning Tasks
EMNLP 2025
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
ECCV 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
ICML 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
NIPS 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
NIPS 2024
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
CVPR 2024
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
NIPS 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations
ICML 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models
NIPS 2023